Lead Data Scientist
Lead Data Scientist
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Job Description
Get to know the team:
The Trust Identity and Safety team acts as guardians of all our users on Grab. Our mission is to be the most trusted platform in the world for protecting individuals and businesses in the domain of fraud risk digital identity and safety. The data science team leverages rich datasets to build AI solutions to solve these tough problems. Were a handson team involved in the entire modelling lifecycle: from data exploration and model development to production deployment and model refresh.
Get to know the role:
We are looking for a Senior Data Scientist to help build safety products that protect users. This role involves modeling based on a variety of data sources to assess user generated content including but not limited to text images audio and user interactions. If youre passionate about tackling complex challenges and ensuring content safety we want you!
The Critical Tasks You Will Perform
Understand Business Problems: Transform business problems into modeling issues and design AI solutions accordingly.
Build & Deploy AI Models: Develop AI models to analyze content and identify potential risks associated with it. Deploy robust and scalable models in production and manage the entire model lifecycle.
Knowledge Sharing: Create technical documentation outlining methodologies and findings. Present solutions and explain concepts to nontechnical stakeholders.
Continuous Learning and Innovation: Keep uptodate with the latest skills and technologies and keep innovating.
Qualifications :
What Essential Skills You Will Need
Educational Background: Degree in Computer Science Electrical/Computer Engineering Mathematics/Statistics or related technical disciplines.
Experience: 3 years of experience in tech companies or academic institutions with a similar role.
Programming Skills: Proficiency in Python Spark and SQL. Familiarity with version control systems such as git and gitflow and an understanding of the full software development life cycle.
AI & Deep Learning: Experience with deep learning frameworks like TensorFlow or PyTorch.
Preferred Experience: Proficiency in NLP and CV. Experience with audio video or LLM modeling is a plus.
Additional Information :
Life at Grab
We care about your wellbeing at Grab here are some of the global benefits we offer:
We have your back with Term Life Insurance and comprehensive Medical Insurance.
With GrabFlex create a benefits package that suits your needs and aspirations.
Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through LoveallServeall (LASA) volunteering leave
We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For At Grab
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality ethnicity race religion age gender family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
